Rajesh Thoke Email & Phone Number

As an AI Engineer, I am passionate about leveraging the power of AI and machine learning ,deep learning, natural language processing, computer vision to develop innovative solutions to complex problems. With a solid background in information technology, mathematics, and statistics, I have a deep understanding of the underlying principles of artificial intelligence and how they can be applied to real-world scenarios.My experience in developing and deploying machine learning and deep learning models has equipped me with a range of technical skills, including proficiency in programming languages such as Python and R, data analysis and visualization.I am also adept at working with deep learning frameworks such as TensorFlow and PyTorch, and I have experience in implementing a wide range of neural network architectures for tasks such as image classification, natural language processing, and object detection , segmentation in medical , traffic cases.In addition to my technical skills, I am an excellent communicator and collaborator, and I am always seeking out opportunities to work with cross-functional teams to bring AI-driven solutions to life. My strong analytical skills, attention to detail, and ability to work in a fast-paced environment make me an ideal candidate for any AI engineering role.I am excited about the opportunities that the field of AI presents, and I am eager to contribute my skills and expertise to help drive innovation and create new possibilities.Technical Skills:Deep Learning Frameworks: TensorFlow, PyTorch, KerasMachine Learning Libraries: scikit-learn, XGBoostNatural Language Processing (NLP) Frameworks: NLTK, spaCyComputer Vision Libraries: OpenCV, TensorFlow Object Detection API, PyTorch VisionData Manipulation and Analysis: NumPy, PandasModel Deployment: TensorFlow Serving, FlaskModel Evaluation and Metrics: sklearn.metrics, TensorFlow Model Evaluation, PyTorch Lightning MetricsData Visualization: Matplotlib, Seaborn, PlotlyVersion Control: Git, GitHub, GitLab,Mlfow,PrefectContainerization and Orchestration: Docker, KubernetesProgramming Languages: Python, RDeep Learning Model Optimization: TensorRT, ONNXDeployments: Docker, Triton inference server These technical skills encompass a range of DL/ML/NLP/CV frameworks, libraries, and tools commonly used in the field. Proficiency in these skills allows for effective development, implementation, and deployment of models and algorithms in various AI applications.

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  B.K. Birla College Of Arts, Science & Commerce (Autonomous)

  Msc Artificial Intelligence